Hexiang Wang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Gastroenterology top 10%
- Gastrointestinal Tumor Research and Treatment
Papers in
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- Sarcoma Diagnosis and Treatment 9
- Gastric Cancer Management and Outcomes 3
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- Radiomics and Machine Learning in Medical Imaging 10
- Co-authors
- Dapeng Hao (8 shared papers)Jihua Liu (2 shared papers)Shaofeng Duan (2 shared papers)Feng Hou (4 shared papers)Pei Nie (3 shared papers)Wenjian Xu (3 shared papers)Cheng Dong (4 shared papers)Jie Li (3 shared papers)
- Journals
- Cancer Imaging (4 papers)European Radiology (3 papers)Journal of Magnetic Resonance Imaging (2 papers)Adipocyte (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- China
In The Last Decade
Hexiang Wang
18 papers receiving 344 citations
Peers
Comparison fields: 5 of 41
- Radiology, Nuclear Medicine and Imaging 211
- Gastroenterology 39
- Health Informatics 9
- Pulmonary and Respiratory Medicine 188
- Rheumatology 80
Countries citing papers authored by Hexiang Wang
This map shows the geographic impact of Hexiang Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hexiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hexiang Wang more than expected).
Fields of papers citing papers by Hexiang Wang
This network shows the impact of papers produced by Hexiang Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hexiang Wang. The network helps show where Hexiang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hexiang Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 58 | |
| 2 | 2019 | 46 | |
| 3 | 2020 | 38 | |
| 4 | 2021 | 34 | |
| 5 | 2020 | 29 | |
| 6 | 2019 | 22 | |
| 7 | 2018 | 22 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 15 | |
| 10 | 2022 | 14 | |
| 11 | 2020 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2018 | 10 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2018 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2021 | 0 |
About Hexiang Wang
Hexiang Wang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Rheumatology and Surgery, having authored 21 papers that have together received 345 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Sarcoma Diagnosis and Treatment (9 papers), Bone Tumor Diagnosis and Treatments (6 papers), Gastrointestinal Tumor Research and Treatment (3 papers), Gastric Cancer Management and Outcomes (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Colorectal and Anal Carcinomas (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (211 citations), Gastroenterology (39 citations), Health Informatics (9 citations), Pulmonary and Respiratory Medicine (188 citations) and Rheumatology (80 citations). Hexiang Wang has collaborated with scholars based in China. Frequent co-authors include Dapeng Hao, Jihua Liu, Shaofeng Duan, Feng Hou, Pei Nie, Wenjian Xu, Cheng Dong, Jie Li, Yujian Wang and Song Liu. Their work appears in journals such as Cancer Imaging, European Radiology, Journal of Magnetic Resonance Imaging, Adipocyte and IEEE Journal of Biomedical and Health Informatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.